Titlebook: Analysis of Neural Networks; Uwe Heiden Book 1980 Springer-Verlag Berlin Heidelberg 1980 Analysis.Biomathematik.Nervennetz.Nervous System.

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Homogeneous networks with lateral inhibition and self-excitation: nonhomogeneous spatial patterns,

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0341-633X cations of the theory presented are indica- ted throughout the text. However, they are not explored in de- tail for two reasons : first, the universal character of n- ral activity in nearly all animals requires some type of a general approach~ secondly, the mathematical perspicuity would suffer if t

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Morphological Aspects of Fungal Dimorphismeneral form of a neural network. Special networks are obtained by specifying the functions and parameters in the framework either by experimental measurements or by derivation from other more specific neuron models and interaction principles.

OVER

Hugo Bossche,Frank C. Odds,David Kerridgeds to the state of the network (uniqueness problem). Finally it could happen that the system determines a unique solution, but this solution cannot be extended beyond a certain finite time t*. Then it remains unclear how the network will evolve after t* (extension problem).

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Beti Lameva,?eneta D?umhur,Mojca Ro?man1977). At a higher level oscillations of whole cell populations are known, e. g. in the olfactory bulb (Freeman, 1975) or those reflected by the EEG. Two further important examples are the respiratory and circulatory systems, the rhythms of which are governed by neural activity.

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